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dc.coverage.spatialElectrical Engineeringen_US
dc.description.abstractThe performance of the induction motor drives largely depends on the power electronic circuitry and the type of control used in designing the controller to control the speed. The heart of the AC drive, i.e., the induction motor (plant), which is to be controlled, is generally characterized by highly non-linear, complex and time-varying dynamics and many of its states are not available for measurement purposes. Hence, it can be considered as a challenging engineering problem in the industrial sector for any specific application, say the control of speed. Numerous control techniques for the speed control of IMs have been developed by various researchers across the world so far.The development of the advanced control techniques has partially solved some of the induction motor?s speed control problems but they remain sensitive to drive parameter variations and the performance may deteriorate if conventional controllers are used. Moreover, these methods require mathematical models for control problems and suffer from drawbacks such as large settling times, ringing oscillations, etc. In this context, the fuzzy logic or neural network (or both)based controllers are considered as potential candidates for such speed control applications and thus does not require the mathematical model of the system for control purposes.A novel technique for the design and simulation of conventional PI controller and also hybrid controllers using the concept of Mamdani-FLC, Takagi-Sugeno FLC and the adaptive neuro-fuzzy strategies for controlling the commands for generating gating signal. The inverter terminal voltage controlled by these gating signals, in turn control the speed of IM drive, which is proposed in this work. Also, the concept of robustness in the speed control of IM has been explored in this research work by developing hybrid controllers yielding excellent results and improving the dynamic stability. Accordingly, it also deals with the use of space vector pulse width modulation (SVPWM).en_US
dc.format.extentxxi, 173p.en_US
dc.titleDesign and implementation of Neuro fuzzy based speed control of induction motor drive by space vector pulse width modulation for voltage source invertersen_US
dc.creator.researcherKusagur, Ashoken_US
dc.subject.keywordScalar Controllersen_US
dc.subject.keywordVector controllersen_US
dc.subject.keywordElectrical Engineeringen_US
dc.description.noteReferences p.158-173en_US
dc.contributor.guideKodad, S Fen_US
dc.contributor.guideSanker Ram, B Ven_US
dc.publisher.universityJawaharlal Nehru Technological Universityen_US
dc.publisher.institutionDepartment of Electrical and Electronics Engineeringen_US 2011en_US
Appears in Departments:Department of Electrical and Electronics Engineering

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01_title.pdfAttached File45.66 kBAdobe PDFView/Open
02_certificate.pdf106.49 kBAdobe PDFView/Open
03_declaration.pdf110.29 kBAdobe PDFView/Open
04_acknowledgements.pdf87.17 kBAdobe PDFView/Open
05_abstract.pdf88.38 kBAdobe PDFView/Open
06_contents.pdf112.55 kBAdobe PDFView/Open
07_list of figures.pdf158.17 kBAdobe PDFView/Open
08_list of tables.pdf68.78 kBAdobe PDFView/Open
09_nomenclature and acronyms and abbreviations.pdf128.87 kBAdobe PDFView/Open
10_chapter 1.pdf202.55 kBAdobe PDFView/Open
11_chapter 2.pdf311.78 kBAdobe PDFView/Open
12_chapter 3.pdf686.37 kBAdobe PDFView/Open
13_chapter 4.pdf578.06 kBAdobe PDFView/Open
14_chapter 5.pdf877.73 kBAdobe PDFView/Open
15_chapter 6.pdf1.06 MBAdobe PDFView/Open
16_chapter 7.pdf1.15 MBAdobe PDFView/Open
17_chapter 8.pdf213.22 kBAdobe PDFView/Open
18_chapter 9.pdf168.23 kBAdobe PDFView/Open
19_references.pdf245.9 kBAdobe PDFView/Open

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